Gabriel Cardoso

According to our database, Gabriel Cardoso authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference.

Camille Touron, Gabriel Victorino Cardoso, Julyan Arbel, Pedro L. C. Rodrigues

CoRR, May, 2026

Initialization-Aware Score-Based Diffusion Sampling.

Tiziano Fassina, Gabriel Cardoso, Sylvan Le Corff, Thomas Romary

CoRR, March, 2026

On Forgetting and Stability of Score-based Generative models.

Stanislas Strasman, Gabriel Cardoso, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello

CoRR, January, 2026

Diffusion posterior sampling for simulation-based inference in tall data settings.

Julia Linhart, Gabriel Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues

Trans. Mach. Learn. Res., 2026

2025

Error analysis of a compositional score-based algorithm for simulation-based inference.

Camille Touron, Gabriel Victorino Cardoso, Julyan Arbel, Pedro L. C. Rodrigues

CoRR, October, 2025

2024

Bayesian ECG reconstruction using denoising diffusion generative models.

Gabriel Victorino Cardoso, Lisa Bedin, Josselin Duchateau, Rémi Dubois, Eric Moulines

CoRR, 2024

Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals.

Lisa Bedin, Gabriel Cardoso, Josselin Duchateau, Rémi Dubois, Eric Moulines

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Monte Carlo guided Diffusion for Bayesian linear inverse problems.

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines

CoRR, 2023

State and parameter learning with PARIS particle Gibbs.

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson

Proceedings of the International Conference on Machine Learning, 2023

2022

Generative methods for sampling transition paths in molecular dynamics.

Tony Lelièvre, Geneviève Robin, Inass Sekkat, Gabriel Stoltz, Gabriel Victorino Cardoso

CoRR, 2022

BR-SNIS: Bias Reduced Self-Normalized Importance Sampling.

Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Patient-Specific Single Equivalent Dipole Model.

Gabriel Cardoso, Geneviève Robin, Andony Arrieula, Mark Potse, Michel Haïssaguerre, Eric Moulines, Rémi Dubois

Proceedings of the Computing in Cardiology, 2022